A study of early predictors (Comorbidities and Etiology) of patient’s outcome after cirrhosis hospitalization

Group 19

Eva Frossard, Pauline Charpentier, Noy Tabul, Fabian Ziegler

Introduction

Objective: Understand patterns and correlations between early predictors Comorbidities and Etiologies, their numerical estimate CPS and Charlson index and cirrhosis’ patients outcome  

Cirrhosis = condition in which the liver is scarred and permanently damaged.

Relevancy of the study: Cirrhosis is a leading cause of mortality in the world (11th), and finding accurate descriptive index is a useful tool to investigate the possible outcome of patients.

Materials - Dataset

Data set used: Early predictors of outcomes of hospitalization for cirrhosis and assessment of the impact of race and ethnicity at safety-net hospitals

  • 733 patients
  • From 4 safety-net hospitals in the US
  • Male dominated study (67.31%)
  • Predominant age group [60; 70]
  • Main liver disease diagnosis
    • Ascites (31%)
    • Hepatic encephalopathy (21.2%)
    • UGIB (19.9%)

Methods

Cleaning:

  • Extracting, renaming, reordering columns
  • Dropping non-available values them

Tidying:

  • Pivot_wider on Comorbidities
  • Pivot_wider on Etiologies

Augmenting:

  • Created categories for Mortality: no death, death in hospital, after 30 days, after 90 days
  • Creating age bins instead decade

Overview of comorbidities and etiologies

  • Etiology is the study of the factors that come together leading to a disease.

  • Comorbidity is an additional disease that can interact and coexist simultaneously with cirrhosis.

Results: Different outcomes tendency depending on the liver disease

Death ratios of every Etiology/Liver disease combination

Model 1 - Logistic regression

Model 2 - Linear regression

Conclusion